Results 41 to 50 of about 9,240 (196)
Predviđanje odljeva utjecajnih mobilnih pretplatnika korištenjem značajki niske razine [PDF]
, 2015 In the last years, customer churn prediction has been very high on the agenda of telecommunications service providers. Among customers predicted as churners, highly influential customers deserve special attention, since their churns can also trigger ...
Andrej Košir +2 more
core +2 more sources
A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
, 2009 We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
A. Lemmens +8 more
core +1 more source
Machine Learning to Develop Credit Card Customer Churn Prediction
Journal of Theoretical and Applied Electronic Commerce Research, 2022 The credit card customer churn rate is the percentage of a bank’s customers that stop using that bank’s services. Hence, developing a prediction model to predict the expected status for the customers will generate an early alert for banks to change the ...
Dana AL-Najjar +2 more
doaj +1 more source
Intelligent data analysis approaches to churn as a business problem: a survey [PDF]
, 2017 Globalization processes and market deregulation policies are rapidly changing the competitive environments of many economic sectors. The appearance of new competitors and technologies leads to an increase in competition and, with it, a growing ...
García Gómez, David +2 more
core +2 more sources
Human-Centric Intelligent Systems, 2022 Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is ...
David Hason Rudd, Huan Huo, Guandong Xu
doaj +1 more source
, 2019 Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking to develop means to predict potential customer
Ahmad, Abdelrahim Kasem +2 more
core +1 more source
Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]
, 2015 Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila +2 more
core +2 more sources
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
Mathematics, 2022 The telecommunications industry is greatly concerned about customer churn due to dissatisfaction with service. This industry has started investing in the development of machine learning (ML) models for churn prediction to extract, examine and visualize ...
Ibrahim Al-Shourbaji +4 more
doaj +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Telecom customer churn prediction
International Journal for Research in Applied Science and Engineering Technology, 2020 Customer churn is often referred to as customer attrition, or customer defection which is the rate at which the customers are lost. Telecom companies often use customer churn as a key business metrics to predict the number of customers that will leave a telecom service provider. Churn is significant in the telecommunication industry because it directly
Sundararajan, Abhijit, Gursoy, Kemal
openaire +2 more sources